Develop large-scale systems for curating and delivering content for AI companies, addressing complex technical challenges and payout systems.
Quick Facts
Focus: Connecting Human-Created Copyrighted Content & AI Companies training LLMs
Location: San Francisco Hybrid (USA)
Website: https://createdbyhumans.ai
Team: 8 Eng: 4
Funding: $ 10M Seed Round from top-tier VCs.
About Us
Created by Humans is a groundbreaking AI Rights licensing platform that connects creators with AI developers, enabling the licensing of copyrighted works for AI training and reference uses. Our platform aims to protect copyright owners’ rights while fostering innovation in AI.
Created by Humans is built on our founding team’s extensive experience in the digital publishing, technology, and data infrastructure sectors. Trip Adler, our CEO, previously founded Scribd, where he pioneered the subscription model for books. We’re the official partner of the Authors Guild, the nation’s oldest and largest organization for 14,000+ writers.
We’ve raised $10 million in seed financing from David Sacks’ Craft Ventures, Mike Maples, Jr. at Floodgate, YCombinator CEO, Garry Tan, and bestselling author Walter Isaacson. We have already hired several senior engineers (ex-Google, ex-Snap, ex-Rubrik) and are looking to expand our team. Over 50 authors have tested our product in beta, including Douglas Preston, Susan Orlean, Lincoln Child, and others. We made a collaboration agreement with one of the largest author associations in the US and are about to sign an agreement with one of the Big Five publishers in the US.
Technical Challenge
We’re building a large-scale system to curate, store and deliver content from multiple industries (publishing, video, websites, etc.)to AI companies. One of our technical challenges is reconciling all stakeholders for various content and implementing a complex payout system so the value could flow back from AI Companies to all content creation stakeholders.
Team and Technologies
We’re building a team of seasoned senior engineers, where each member shows technical excellence and a high level of ownership. We’d like to stay lean and flat for as long as possible. Our primary backend language is Python, and we’re deployed on AWS; for our web app, we use TypeScript, React, Tailwind, NextJS, and Radix UI. Eventually, we’ll also train models ourselves and/or build consumer applications.
Compensation
We offer generous equity, competitive salaries, health insurance, 401k, and lunches for in-office days.
For California applicants: the base salary for this position is $140.000-$260.000.
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